Q9KVY3 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiej4dwswjlcneoala7laexgpmur732dsojf7an2uyjexjfdlbjtfa/metadata.json
IPFS of structure file: 
bafybeidia3wdi6ebvoxj5d45lstr6dxiquzrbggi4puqstsgqwlbyskooy/AF-Q9KVY3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xcB690B5E3a35d70EE98529ec0d65d824111EE793
First NFT owner address (bech32): 
genesis1ed5skh36xhtsa6v998kq6ewcysg3aeun9eu36u
Current NFT ID #532640 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
532640
Accession (UniProt):
Q9KVY3
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
VIBRIO CHOLERAE SEROTYPE O1 (STRAIN ATCC 39315 / EL TOR INABA N16961)

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT Q9KVY3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9KVY3|YIDD_VIBCH Putative membrane protein insertion efficiency factor OS=Vibrio cholerae serotype O1 (strain ATCC 39315 / El Tor Inaba N16961) OX=243277 GN=VC_0005 PE=3 SV=1 MATPLSPFSWLAIGIVKLYQWFISPLIGPRCRFTPTCSTYAIEALRAHGFIKGCWLSTKRLLKCHPLNEGGFDPVPPVQKQDRDK